Triple
T10007991
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matt Berninger |
E198299
|
entity |
| Predicate | notableSong |
P4
|
FINISHED |
| Object | I Need My Girl |
E198316
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: I Need My Girl | Statement: [Matt Berninger, notableSong, I Need My Girl]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: I Need My Girl Context triple: [Matt Berninger, notableSong, I Need My Girl]
-
A.
I Need My Girl
chosen
"I Need My Girl" is a melancholic indie rock song by The National, known for its introspective lyrics and atmospheric, emotionally resonant sound.
-
B.
My Girl to Me
"My Girl to Me" is a song by the American indie rock band Local Natives from their debut album "Gorilla Manor."
-
C.
My-My Kind of Girl
"My-My Kind of Girl" is a song featured on the album *Subterranean Jungle* by the American punk rock band Ramones.
-
D.
My Girl
My Girl is a 1991 coming-of-age comedy-drama film about an 11-year-old girl coping with loss and growing up, co-starring Dan Aykroyd, Jamie Lee Curtis, and Macaulay Culkin.
-
E.
My Girl
"My Girl" is a classic 1964 soul song by The Temptations, celebrated for its smooth vocals, memorable bassline, and enduring status as one of Motown's signature hits.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ca830fcca48190bbbd9b20c233835f |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cdcd187fe481908556ea896c528ea4 |
completed | April 2, 2026, 1:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d26a683c208190a79ebc2e6ec5893c |
completed | April 5, 2026, 1:58 p.m. |
Created at: March 30, 2026, 8:52 p.m.